nlp engineer

Apple

<p>Are you interested in building amazing Generative AI experiences that will touch the lives of billions of people by utilizing state-of-the-art NLP and machine learning? Do you enjoy collaboration and team work to accomplish innovative ML driven user experiences?<br>
<br>
We are looking for a Software Engineer who is passionate about translating expertise in NLP and ML into impactful applications for users. The role allows you to be a highly multi-functional engineer with plenty of opportunities to collaborate cross-functionally and get high visibility for your work.<br>
<br>
Our team is responsible for the Research, Development and Deployment of ML/NLP technologies that power Apple Intelligence on device and on private compute cloud. Our team was also responsible for building Generative AI experiences for Writing Tools, Smart Replies, Transformer Models for Keyboard across all Apple Platforms.<br>
<br>
Our team has a great mix of talent across NLP, Software Engineering and Machine Learning. We love to share our knowledge within our team, stay abreast of state-of-the-art and deliver outstanding products for our users. We also have a strong culture of multi-functional collaboration across teams at Apple.<br>
<br>
<b>Description</b><br>
<br>
As a member of this premier team, you will work on the intersection of NLP, Machine Learning and Software Engineering.<br>
<br>
The position requires proven hands-on NLP experience in conjunction with Software Engineering. The role spans the entire gamut of NLP: text processing, empirical experimentation for building state-of-the-art NLP models, productizing Generative AI features for Apple. You will collaborate closely with several engineering teams at Apple that work on machine learning and NLP.<br>
<br>
<b>Preferred Qualifications</b><br>
<br>
Hands-on experience in using open-source ML toolkits, e.g., PyTorch<br>
<br>
Hands-on experience with building NLP/Generative AI applications<br>
<br>
Excellent communication and organizational skills<br>
<br>
<b>Minimum Qualifications</b><br>
<br>
Experience writing production software (Swift, C/C++, Obj-C, Python)<br>
<br>
Good machine learning (ML) fundamentals<br>
<br>
B.S, M.S. or PhD in Computer Science or a related field<br>
<br>
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant .<br>
<br>
<b>Pay &amp; Benefits</b><br>
<br>
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $126,800 and $220,900, and your base pay will depend on your skills, qualifications, experience, and location.<br>
<br>
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.<br>
<br>
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.</p>

Software Engineer in Natural Language Processing (NLP) and Machine Learning (ML)

International Turnkey Systems - ITS

<div>
 <p>
  For a
  <strong>
   well-known Islamic Bank in Bahrain
  </strong>
  , we are looking for an experienced
  <strong>
   AI/ML Specialist (Engineer &ndash; Data Platform)
  </strong>
  . This role is focused on designing, developing, and deploying advanced machine learning solutions to support digital transformation initiatives in the banking sector. The successful candidate will bring deep expertise in ML, NLP, cloud AI platforms, and MLOps, with a strong background in financial services.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Responsibilities
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Machine Learning &amp; AI Solutions
  </strong>
 </p>
 <ul>
  <li>
   Design and develop ML models for banking use cases (fraud detection, credit scoring, churn prediction, personalization).
  </li>
  <li>
   Collaborate with data engineers to prepare and preprocess data.
  </li>
  <li>
   Evaluate and optimize models for accuracy, precision, and recall.
  </li>
  <li>
   Deploy models using MLOps frameworks and CI/CD pipelines.
  </li>
  <li>
   Ensure explainability, compliance, and auditability of models.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Core AI/NLP Engineering
  </strong>
 </p>
 <ul>
  <li>
   Work with Python frameworks (PyTorch, TensorFlow, LangChain, Hugging Face, OpenAI API, Anthropic Claude).
  </li>
  <li>
   Fine-tune LLMs (LoRA, PEFT, prompt tuning).
  </li>
  <li>
   Implement RAG pipelines and vector databases (Pinecone, FAISS, Weaviate, Chroma).
  </li>
  <li>
   Apply prompt engineering and orchestration tools (LangChain, LlamaIndex, Semantic Kernel).
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Software Engineering &amp; Backend Integration
  </strong>
 </p>
 <ul>
  <li>
   Develop APIs (RESTful, GraphQL), webhooks, and microservices.
  </li>
  <li>
   Containerize and deploy applications (Docker, Kubernetes).
  </li>
  <li>
   Integrate with enterprise systems (SharePoint, Salesforce, SQL).
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Agent Orchestration &amp; Conversational AI
  </strong>
 </p>
 <ul>
  <li>
   Utilize agent frameworks (LangGraph, AutoGen, CrewAI, Flowise).
  </li>
  <li>
   Design conversational UX with frameworks (Google CCAI, Microsoft Bot Framework, Voiceflow, Botpress).
  </li>
  <li>
   Conduct A/B testing and optimize user satisfaction.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Data &amp; Infrastructure
  </strong>
 </p>
 <ul>
  <li>
   Build pipelines with Airflow, dbt, Kafka.
  </li>
  <li>
   Manage feature stores and model registries (MLflow, Kubeflow).
  </li>
  <li>
   Monitor models for drift and performance issues.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Governance, Security &amp; Compliance
  </strong>
 </p>
 <ul>
  <li>
   Conduct bias/fairness audits.
  </li>
  <li>
   Ensure compliance with GDPR, ISO 42001, NIST AI RMF, and local banking regulations.
  </li>
  <li>
   Implement secure logging and audit trails.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Product Strategy &amp; Business Alignment
  </strong>
 </p>
 <ul>
  <li>
   Translate business problems into AI use cases.
  </li>
  <li>
   Define KPIs (accuracy, ROI, user satisfaction).
  </li>
  <li>
   Manage vendors and drive adoption of AI solutions.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Required Qualifications
  </strong>
 </p>
 <ul>
  <li>
   <strong>
    Education:
   </strong>
   Bachelor&rsquo;s Degree in Computer Science (BE in Computer Science &amp; Engineering).
  </li>
  <li>
   <strong>
    Experience:
   </strong>
   7&ndash;10 years in AI/ML engineering, preferably in banking and IT transformation.
  </li>
  <li>
   <strong>
    Professional Training:
   </strong>
   Machine Learning, Deep Learning, MLOps, AI in Financial Services.
  </li>
  <li>
   <strong>
    Certifications:
   </strong>
  </li>
  <li>
   Google Professional ML Engineer
  </li>
  <li>
   Microsoft AI Engineer Associate
  </li>
  <li>
   TensorFlow Developer Certificate
  </li>
  <li>
   AWS Certified Machine Learning &ndash; Specialty
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  Skills &amp; Competencies
 </p>
 <ul>
  <li>
   Machine Learning / Deep Learning
  </li>
  <li>
   Statistics &amp; Finance knowledge
  </li>
  <li>
   Data Preprocessing &amp; Feature Engineering
  </li>
  <li>
   Model Deployment &amp; MLOps
  </li>
  <li>
   Cloud AI Platforms (Azure ML, AWS SageMaker, Vertex AI)
  </li>
  <li>
   Explainable AI (XAI) &ndash; SHAP, LIME
  </li>
  <li>
   Statistical Analysis
  </li>
  <li>
   Business Problem Solving
  </li>
 </ul>
 <p>
 </p>
</div>


AI/ ML Specialist

Luxoft

<div><div><h5 class="jobSectionHeader"><b>Project description
</b></h5><p>We are seeking a hands-on and qualified AI Agent Architect to design and deploy advanced Agentic AI systems&mdash;comprising task-specific autonomous tools governed by a master agent&mdash;to support complex technical decision-making in industrial environments.<br>
This is a high-impact individual contributor role for someone who can independently deliver full-stack intelligent agents that interpret natural language queries and generate precise, context-aware outputs by interacting with structured and unstructured data, APIs, and analytical engines.
</p></div><div><h5 class="jobSectionHeader"><b>Responsibilities</b></h5>
<div><div><p>Architect and develop a multi-agent AI framework where autonomous agents coordinate to solve domain-specific technical queries.
</p></div><div><p>Leverage LLMs, NLP, and tool-based reasoning to automate data extraction, analysis, and insight generation.
</p></div><div><p>Build agents capable of integrating with engineering tools, simulators, databases, and knowledge sources.
</p></div><div><p>Collaborate with domain experts to align agent behavior with technical expectations and constraints.
</p></div><div><p>Implement safeguards to ensure accuracy, traceability, and reliability of AI-generated outputs.
</p></div><div><p>Continuously optimize prompting, agent orchestration, and performance under real-world conditions.
</p></div><div><p>Business trip to Kuwait for first 6-12 months. On-site
</p></div></div></div><div><h5 class="jobSectionHeader"><b>Skills</b></h5>
<p>Must have
</p><div><div><p>Demonstrated expertise in building Agentic AI architectures, using frameworks like LangChain, AutoGen, CrewAI, or custom stacks.
</p></div><div><p>Strong foundation in LLM-based NLP, prompt engineering, and context-aware reasoning.
</p></div><div><p>Advanced Python programming and experience deploying AI workflows in cloud or containerized environments.
</p></div><div><p>Ability to work with APIs, data models, and external toolchains across complex systems.
</p></div><div><p>Comfortable operating independently with minimal supervision in a cross-functional environment.
</p></div><div><p>Ready for a long term business trip to Kuwait for first 6-12 months
</p></div></div><p>Nice to have
</p><div><div><p>Exposure to industrial domains such as energy, manufacturing, or heavy engineering.
</p></div><div><p>Understanding of vector databases, knowledge graphs, and retrieval-augmented generation.
</p></div><div><p>Familiarity with Azure or AWS development environments.
</p></div><div><p>Certifications:
</p></div><div><p>Azure AI Engineer or Azure Data Engineer certification is a plus.
</p></div><div><p>AWS experience is nice to have, but not required.
</p></div><div><p>Industry Experience:
</p></div><div><p>Oil and gas domain experience is a strong advantage, especially familiarity with digital operations or engineering workflows.
</p></div><div><p>However, candidates with relevant AI system-building experience in other complex industries are encouraged to apply.
</p></div></div></div><div><h5 class="jobSectionHeader"><b>Other</b></h5>
<div><div><div><p>Languages</p>
<p>English: C1 Advanced
</p></div></div><div><div><p>Seniority</p>
<p>Lead</p></div></div></div></div></div>
<br><div><div><div><p>Remote Egypt, Egypt
</p></div><p>Req. VR-118734
</p></div><div></div><div><div><p>AI/ML
</p></div><div><p>Cross Industry Solutions</p>
</div><div><p>03/03/2026
</p></div><div><p>Req. VR-118734</p></div></div></div><p></p>

AI Agent Architect (onsite work in Kuwait)

<div><div><h5 class="jobSectionHeader"><b>Project description
</b></h5><p>We are seeking a hands-on and qualified AI Agent Architect to design and deploy advanced Agentic AI systems&mdash;comprising task-specific autonomous tools governed by a master agent&mdash;to support complex technical decision-making in industrial environments.<br>
This is a high-impact individual contributor role for someone who can independently deliver full-stack intelligent agents that interpret natural language queries and generate precise, context-aware outputs by interacting with structured and unstructured data, APIs, and analytical engines.
</p></div><div><h5 class="jobSectionHeader"><b>Responsibilities</b></h5>
<div><div><p>Architect and develop a multi-agent AI framework where autonomous agents coordinate to solve domain-specific technical queries.
</p></div><div><p>Leverage LLMs, NLP, and tool-based reasoning to automate data extraction, analysis, and insight generation.
</p></div><div><p>Build agents capable of integrating with engineering tools, simulators, databases, and knowledge sources.
</p></div><div><p>Collaborate with domain experts to align agent behavior with technical expectations and constraints.
</p></div><div><p>Implement safeguards to ensure accuracy, traceability, and reliability of AI-generated outputs.
</p></div><div><p>Continuously optimize prompting, agent orchestration, and performance under real-world conditions.
</p></div><div><p>Business trip to Kuwait for first 6-12 months. On-site
</p></div></div></div><div><h5 class="jobSectionHeader"><b>Skills</b></h5>
<p>Must have
</p><div><div><p>Demonstrated expertise in building Agentic AI architectures, using frameworks like LangChain, AutoGen, CrewAI, or custom stacks.
</p></div><div><p>Strong foundation in LLM-based NLP, prompt engineering, and context-aware reasoning.
</p></div><div><p>Advanced Python programming and experience deploying AI workflows in cloud or containerized environments.
</p></div><div><p>Ability to work with APIs, data models, and external toolchains across complex systems.
</p></div><div><p>Comfortable operating independently with minimal supervision in a cross-functional environment.
</p></div><div><p>Ready for a long term business trip to Kuwait for first 6-12 months
</p></div></div><p>Nice to have
</p><div><div><p>Exposure to industrial domains such as energy, manufacturing, or heavy engineering.
</p></div><div><p>Understanding of vector databases, knowledge graphs, and retrieval-augmented generation.
</p></div><div><p>Familiarity with Azure or AWS development environments.
</p></div><div><p>Certifications:
</p></div><div><p>Azure AI Engineer or Azure Data Engineer certification is a plus.
</p></div><div><p>AWS experience is nice to have, but not required.
</p></div><div><p>Industry Experience:
</p></div><div><p>Oil and gas domain experience is a strong advantage, especially familiarity with digital operations or engineering workflows.
</p></div><div><p>However, candidates with relevant AI system-building experience in other complex industries are encouraged to apply.
</p></div></div></div><div><h5 class="jobSectionHeader"><b>Other</b></h5>
<div><div><div><p>Languages</p>
<p>English: C1 Advanced
</p></div></div><div><div><p>Seniority</p>
<p>Lead</p></div></div></div></div></div>
<br><div><div><div><p>Remote Turkey, Turkiye
</p></div><p>Req. VR-118734
</p></div><div></div><div><div><p>AI/ML
</p></div><div><p>Cross Industry Solutions</p>
</div><div><p>03/03/2026
</p></div><div><p>Req. VR-118734</p></div></div></div><p></p>

Career Mentors

<div><p><b>We&rsquo;re Hiring: Bilingual Senior AI Engineer (English / Spanish)</b>
</p><p></p><p><b>Location:</b> Charlotte, NC (<b>4 Days Onsite | 1 Day Remote</b>)<br>
<b>Candidates:</b> Local / Nearby candidates preferred<br>
<b>Employment Type:</b> W2</p><p>
Hourly Payrate: $50 - $60</p><p></p><p>
We are seeking a <b>Bilingual Senior AI Engineer</b> to design and build <b>next-generation AI-driven IVR and conversational systems</b>. This role is ideal for engineers passionate about <b>LLMs, NLP, and intelligent automation</b> in customer interaction platforms.</p><p></p><div><b>
Required Skills &amp; Experience:</b><br>
<b>5+ years of experience in AI / ML</b><br>
Strong <b>Python programming</b> skills<br>
Proven expertise in <b>NLP techniques</b> such as:<br>
<ul><li>Text Classification</li><li>Clustering</li></ul>
Hands-on experience with <b>LLMs</b>, including:<br>
<ul><li>Prompt Engineering</li><li>Evaluation Frameworks</li><li><b>Retrieval-Augmented Generation (RAG)</b></li></ul></div><p></p><p>
<b>Nice to Have:</b><br>
Experience with <b>Agentic AI / Multi-Agent orchestration</b><br>
Experience with <b>LLMOps / MLOps</b> in production environments<br>
Familiarity with <b>IVR platforms and speech technologies</b> (<b>ASR, NLU, TTS</b>)</p><p></p><p><b><br>
Key Responsibilities:</b><br>
Architect and develop <b>AI-driven IVR and conversational systems</b> using <b>Python</b><br>
Build <b>English&ndash;Spanish translation systems</b><br>
Perform <b>large-scale data analysis using SQL</b> on IVR and interaction datasets<br>
Design and deploy <b>LLM workflows</b> (Prompt Engineering, <b>RAG</b>, Evaluation) for voice and chat use cases<br>
Develop <b>Agentic AI workflows</b> for multi-step customer interactions<br>
Establish <b>LLMOps best practices</b> including monitoring, evaluation, and lifecycle management<br>
Collaborate with <b>IVR platform, speech engineering, and product teams</b><br>
Mentor <b>offshore and junior AI engineers</b></p><p></p><h4 class="jobSectionHeader"><b>
Equal Employment Opportunity</b></h4><p>
TopTechTalent.ai believes that all persons are entitled to equal employment opportunities. TopTechTalent.ai recruits, hires, trains, promotes, disciplines and provides other conditions of employment without regard to a person's race, color, ethnicity, religion, gender, gender identity, or expression, age, national origin, citizenship status, disability, veteran's status, sexual orientation, marital status or other classifications protected under law or Company policy. This includes providing reasonable accommodation for team members' disabilities or religious beliefs and practices.</p><p>
The government requires TopTechTalent.ai to maintain information on those who seek employment with the company, including their race and sex. Accordingly, to help us comply with this requirement, we encourage you to provide us with the following self-identification information. However, submission of this information is voluntary and refusal to provide it will not affect your opportunity for employment or terms and conditions of employment, if hired. If you do submit this information, it will be kept confidential and will be used in the compilation of data for reporting requirements.</p><p></p><p>
 Third-party recruiters, please do not reach out for this role.</p></div><p></p>

Bilingual Senior AI Engineer (English / Spanish)

ASTIVA HEALTH INC

<p>Description:<br/></p><p>About Us:<br/></p><p>Astiva Health, Inc., located in Orange, CA is a premier health plan provider specializing in Medicare and HMO services. With a focus on delivering comprehensive care tailored to the needs of our diverse community, we prioritize accessibility, affordability, and quality in all aspects of our services. Join us in our mission to transform healthcare delivery and make a meaningful difference in the lives of our members.<br/></p><p>SUMMARY:<br/></p><p>We are seeking a skilled and adaptable AI/ML Engineer to join our fast-moving team building impactful AI solutions in healthcare. Our work focuses on extracting and interpreting data from unstructured medical documents, improving clinical coding accuracy, streamlining administrative processes, and enhancing patient outreach.<br/></p><p>Projects will evolve rapidly, from fine-tuning large language models (LLMs) on specialized medical PDFs, to optimizing OCR pipelines in Azure, and new challenges emerge regularly. This role suits someone who thrives in ambiguity, enjoys hands-on model development, and wants to directly influence healthcare delivery through applied AI/ML.<br/></p><p>ESSENTIAL DUTIES AND RESPONSIBILITIES include the following:<br/></p><p>Design, fine-tune, and optimize large language models (LLMs) and multimodal models for healthcare-specific NLP tasks, such as information extraction, classification, and summarization from clinical documents (e.g., medical charts, patient files, scanned forms).<br/>Develop and improve document understanding pipelines, including fine-tuning OCR / layout-aware models (especially in cloud environments like Azure AI, Azure Foundry) to handle real-world variability in medical forms, handwriting, and scanned PDFs.<br/>Build and iterate on end-to-end ML solutions that transform unstructured healthcare data into structured, actionable insights<br/>Collaborate closely with clinicians, product managers, data annotators, and engineers to define problems, curate/annotate datasets, evaluate model performance against clinical and business metrics, and iterate quickly.<br/>Deploy models into production environments (cloud-based inference, batch processing, or API endpoints) with attention to latency, cost, scalability, and healthcare compliance considerations (HIPAA, data privacy).<br/>Stay current with advancements in LLMs, vision-language models, efficient fine-tuning techniques (LoRA/QLoRA, PEFT), RAG, multimodal AI, and domain-specific healthcare AI research.<br/>Contribute to a culture of rapid prototyping, rigorous evaluation, and continuous improvement in a dynamic project landscape where priorities can shift based on new opportunities or stakeholder needs.<br/>Other duties as assigned<br/></p><p>OTHER SKILLS and ABILITIES:<br/></p><p>Hands-on experience with Azure AI services, Azure Machine Learning, OpenAI on Azure, and Microsoft Foundry<br/>Experience with clinical NLP libraries (scispaCy, medspaCy, cTAKES)<br/>Familiarity with RAG architectures for grounding model decisions<br/>Experience with weak supervision or noisy-label learning<br/>Knowledge of temporal reasoning or longitudinal modeling<br/>Exposure to knowledge graphs or ontology-driven systems<br/>Familiarity with healthcare vocabularies and ontologies:<br/>ICD-10<br/>SNOMED CT<br/>RxNorm (or similar)<br/>Understanding of clinical documentation structure (HPI, Assessment &amp; Plan, medications, etc.<br/></p><p>EXPERIENCE<br/></p><p>Bachelor&rsquo;s Degree in related field<br/>2-4+ years of experience in software engineering, machine learning, or applied NLP<br/>Demonstrated experience taking ML systems from prototype to production<br/>Experience collaborating with non-technical domain experts (e.g., medical coders, clinicians)<br/></p><p>BENEFITS:<br/></p><p>401(k)<br/>Dental Insurance<br/>Health Insurance<br/>Life Insurance<br/>Vision Insurance<br/>Paid Time Off<br/>Free catered lunches<br/>Requirements:<br/></p><p>REQUIRED TECHNICAL SKILLS:<br/></p><p>Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow, or equivalent)<br/>Hands-on experience with NLP applied to unstructured text<br/>Experience working with LLMs, including:<br/>Prompting strategies<br/>Fine-tuning for classification or extraction tasks<br/>Model evaluation and error analysis<br/>Experience designing or consuming annotation pipelines and labeled datasets<br/>Familiarity with structured prediction problems (multi-label classification, ranking, or probabilistic inference)<br/>Ability to reason about and mitigate model bias, label noise, and false positives<br/>Strong understanding of production ML systems (versioning, monitoring, iteration)<br/>Experience working with sensitive or regulated data (e.g., HIPAA-covered healthcare data), including privacy-aware data handling and secure ML workflows<br/></p>

AI/ML Engineer

Unifonic

<div><p>Proudly voted a Great Place to Work&reg;, we are a dynamic startup in the SaaS space that is revolutionizing the way businesses communicate. Our team is made up of 500 energetic and passionate Unifones who are dedicated to delivering the best possible experience to 5000+ customer-centric companies.</p><p><br>
We pride ourselves on our fun and collaborative work environment, where creativity and new ideas are constantly encouraged. As shareholders in the business, we&rsquo;re so much more than a group of passionate communicators. We are Unifones. Join our team and be a part of something big!</p><p></p><p><b><br>
Meet the team!</b></p><p>
Our Engineering team is responsible for designing, developing, and maintaining the systems and technologies that drive Unifonic&rsquo;s solutions. We work closely with other departments to ensure our products and services meet the needs of our customers. If you are passionate about technology and are excited about working on cutting-edge communication and engagement solutions, we want you on our team.</p><p></p><p>
As a Senior Machine Learning (AI) Engineer, you will be responsible for designing, developing, and deploying advanced machine learning solutions across various domains, including NLP, Text Classification, RAG, LLMs, Recommender engines, and Anomaly detection. This role involves end-to-end project ownership, from data preprocessing to the creation of service APIs, and offers opportunities to work on cutting-edge AI technologies.</p><p><b><br>
Help us shape the future of communication by:</b></p><ul><li>
Leading the end-to-end design, development, and deployment of robust and scalable machine learning solutions, with a strong emphasis on NLP and RAG architectures.</li><li>
Architecting and implementing RAG systems, combining large language models (LLMs) with robust retrieval mechanisms to improve the accuracy, factual grounding, and interpretability of generated content.</li><li>
Applying advanced NLP techniques for tasks such as text classification, entity recognition, sentiment analysis, summarization, question answering, and information extraction.</li><li>
Researching, evaluating, and integrating state-of-the-art NLP models and RAG frameworks (e.g., Transformers, BERT, GPT variants, Vector Databases, Semantic Search).</li><li>
Mentoring junior team members on the team, sharing knowledge, and advising the best machine learning and software engineering practices and approaches.</li><li>
Establishing and maintaining robust communication channels with other cross-functional teams to facilitate the integration of machine learning solutions into other Unifonic products.</li><li>
Developing and optimizing highly confident machine learning algorithms and models and creating/exposing the service APIs using frameworks such as Flask, FastAPIs, or other relevant frameworks.</li><li>
Staying up to date with the latest machine learning research papers, and AI trends (i.e. Generative AI).</li><li>
Collaborating with the data engineering team and other teams to collect and analyze extensive datasets, extracting insights and patterns, in real-time, near-real-time, or batch processing mode.</li><li>
Implementing proof of concepts and prototypes to demonstrate the potential of new AI use cases and innovations.</li><li>
Building scalable, maintainable machine learning services, which should handle thousands of requests per second, and help to perform the required load tests to meet the SLA.</li><li>
Reviewing the code of other team members and suggesting improvements to ensure the SOLID principles and clean architecture.</li><li>
Assisting in the project documentation and demos.</li></ul><p><b><br>
What you'll bring:</b></p><ul><li>
Proven experience designing and implementing RAG systems, including familiarity with various retrieval strategies (e.g., BM25, dense retrieval, hybrid approaches) and knowledge graph integration.</li><li>
Hands-on experience with LLM orchestration frameworks such as LangChain, LangGraph, CrewAI, or similar tools for building and managing autonomous agents.</li><li>
Deep expertise in various NLP techniques and models, including but not limited to:Transformer architectures (e.g., BERT, GPT, T5, LLama, Mistral)Large Language Models (LLMs) and their fine-tuning/adaptationVector embeddings and similarity searchText classification, named entity recognition (NER), sentiment analysis, summarization, and question answering.</li><li>
Hands-on 3-5 years of relevant work experience as a Machine Learning Engineer.</li><li>
Hands-on 3+ years of experience with Python.</li><li>
Excellent analytical abilities, with the capacity to collect, organize, and analyze large datasets to glean valuable insights.</li><li>
End-to-end experience in training, evaluating, testing, and deploying machine learning products in production.</li><li>
Ability to write world-class code in Python (SOLID principles), considering the best software engineering fundamentals, i.e. data structures, algorithms, and data modeling</li><li>
Solid experience in ML frameworks such as NumPy, Pandas, Scikit-Learn, PyTorch, Keras, BERT, Tensorflow, and similar.</li><li>
Familiarity with MLOps best practices, e.g. Model deployment and reproducible research.</li><li>
Mastering data science needed skills like SQL, hypothesis testing, Data cleansing, data augmentation, data pre-processing techniques, and dimensionality reduction.</li><li>
Basic knowledge of Kubernetes and Docker is nice to have.</li><li>
Excellent understanding of Machine learning techniques like Naive Bayes classifiers, SVM, Decision Tree, KNN, K-means, Random Forest, modeling and optimization, evaluation metrics, classification, and clustering.</li><li>
Experience with the Hugging Face libraries (i.e. transformers).</li><li>
Experience fine-tuning pre-trained models and using vector search to enhance LLMs results.</li><li>
Experience with LLM frameworks (i.e. LangChain) and prompt engineering techniques.</li><li>
Familiar with code versioning tools such as GIT, CI/CD concepts, and toolchains.</li><li>
Familiar with Agile methodologies i.e. scrum and kanban.</li><li>
Ability to develop high-level architecture and low-level design, End-to-end for a specific project.</li><li>
Experience in event sourcing patterns and tools i.e. Kafka, RabbitMQ, or similar is a plus.</li><li>
Experience with LLM frameworks (i.e. LangChain) and prompt engineering techniques is nice to have.</li><li>
Experience in event sourcing patterns and tools i.e. Kafka, RabbitMQ, or similar is nice to have.</li><li>
General knowledge of Data warehouse tools e.g. Vertica is a plus.</li><li>
A Bachelor&rsquo;s degree in a relevant field. (e.g. Computer Science, Computer Engineering, Software, etc).</li><li>
Excellent communication and collaboration skills.</li><li>
Good level of spoken and written Arabic and English.</li></ul><p></p><p><b>
As a Unifone you will receive a range of benefits:</b></p><ul><li>
Competitive salary and bonus.</li><li>
Unifonic share scheme (we are all owners!).</li><li>
30 holiday days after the first anniversary.</li><li>
Your Birthday off!</li><li>
Spend up to 25 days per year working from anywhere in the world!</li><li>
Paid leave for new parents.</li><li>
LinkedIn learning license.</li></ul></div>

Senior Machine Learning Engineer

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